--- title: "voyage-4-large Cost Calculator - OpenRouter" description: "Calculate the cost of using voyage-4-large from OpenRouter. Input costs $0.12 and output $0.0000 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-4-large" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-4-large.md" --- # voyage-4-large Cost Calculator - OpenRouter > Calculate the cost of using voyage-4-large from OpenRouter. Input costs $0.12 and output $0.0000 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About voyage-4-large voyage-4-large is an embedding model from OpenRouter, one of 25 embedding models they offer. It is priced at $0.12 per 1M input tokens and $0.0000 per 1M output tokens, ranking 117 out of 149 embedding models by cost and cheaper than 21% of models in this category. Its 32K-token context window is in the top 35% among embedding models. ## Pricing Published OpenRouter pricing for voyage-4-large. - **$0.12 / 1M tokens Input.** - **$0.0000 / 1M tokens Output.** ## Technical Specifications - **Embedding Mode.** - **32,000 Max Input Tokens.** - **28,800 Max Output Tokens.** - **28,800 Max Tokens.** ## How Pricing Compares At $0.12 per 1M input tokens and $0.0000 per 1M output tokens, voyage-4-large ranks 117 out of 149 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 21% of models in this category. voyage-4-large is one of 25 OpenRouter embedding models, its 32K-token context window places it in the top 35% of embedding models. | Model | Provider | Input $/1M | Output $/1M | vs voyage-4-large | | --- | --- | --- | --- | --- | | amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | +13% | | amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | -17% | | amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 | -17% | | ada | Azure | $0.10 | $0.0000 | -17% | | text-embedding-3-large | Azure | $0.13 | $0.0000 | +8% | ## More from OpenRouter - [voyage-code-4 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-code-4.md) - [voyage-multimodal-3.5 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-multimodal-3.5.md) - [text-embedding-3-large ($0.13/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/text-embedding-3-large.md) - [gemini-embedding-2:batch ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-2-batch.md) ## Related Resources - [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md) - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) ## FAQ ### Is voyage-4-large cheaper than amazon.nova-2-multimodal-embeddings-v1:0? Yes. voyage-4-large costs $0.12 per 1M input tokens compared to amazon.nova-2-multimodal-embeddings-v1:0's $0.14 per 1M input tokens, making it 13% more affordable. Both are embedding models and share support for audio input. ### How does voyage-4-large pricing compare to the average embedding model? voyage-4-large input pricing is $0.12 per 1M tokens, which is 20% above the median of $0.10 for embedding models. It ranks 117 out of 149 embedding models by input cost, making it cheaper than 21% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02. ### What makes voyage-4-large different from other OpenRouter models? Among OpenRouter's 25 embedding models, voyage-4-large ranks 20 by input cost. ### What are the best alternatives to voyage-4-large? The most comparable embedding models to voyage-4-large are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); amazon.titan-embed-text-v1 from AWS Bedrock ($0.10/1M input tokens); amazon.titan-embed-g1-text-02 from AWS Bedrock ($0.10/1M input tokens); ada from Azure ($0.10/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library. ### How do I check if OpenRouter is down? You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds. ### How do I calculate voyage-4-large costs? voyage-4-large is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.12 and generating 1M output tokens costs $0.0000. ## Related Resources - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-4-large](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-4-large) for AI/LLM consumption.*